Fractional revenue leadership
Revenue now, when the timing is not right for a full time hire.
I come in fractionally and do the job itself: prospect, open doors, build pipeline, run deals, and close business. This is not consulting, and it is not an analysis engagement. It is hands on revenue generation from a senior enterprise seller working your accounts and your market on a part time schedule, without the cost, risk, and ramp time of a full time hire.
$1.2B+
Total contract value personally closed
50+
New enterprise logos opened
110 to 180%
Of quota attainment
$100M+
Largest deals run end to end, from $100K up
The method behind the seat
Buyers complete 70 to 80% of their journey before engaging a vendor, inboxes drown in identical AI generated outreach, and feature parity makes differentiation nearly impossible. The old volume playbook of hiring SDRs, blasting sequences, running demos and negotiating was built for a market that is gone. Precision Revenue replaces it with five shifts that align your go to market motion with how modern B2B buyers actually decide.
Noise → Signal
Market Positioning Architecture
Buyers see you as the only logical choice.
Lists → Landscapes
Strategic Account Intelligence
Target accounts that are actually in market.
Outreach → Orbit
Multi Touch Account Engagement
Meetings become formalities, not cold pitches.
Demos → Discovery
Consultative Sales Execution
Premium pricing and shorter sales cycles.
Pipeline → Predictability
Revenue Operations and Intelligence
Forecast accuracy and real pipeline health.
The diagnosis
Market saturation
More than 10,000 tools and 15 to 50 alternatives per category. Feature parity is the norm.
AI homogenization
Same AI tools, same emails, same lists. Buyers ignore the avalanche.
Buyer controlled journeys
70 to 80% of the evaluation is complete before a vendor is engaged.
Trust erosion
Decades of overpromising. Buyers expect to be sold to, not helped.
Buying committee complexity
Six to eleven stakeholders with competing priorities.
The cost of inaction
Sub 1% reply rates
Brand damage with every ignored email.
Declining win rates
A discounting spiral; buyers trained to wait.
Bloated pipeline
Resource misallocation and forecast fiction.
Stalled mid funnel deals
Wasted months of AE time on non deals.
High rep turnover
$150K to $300K per rep in recruiting and ramp.
Sales and marketing misalignment
Internal friction compounding every problem.
The companies that win do not sell harder. They make it easier for buyers to choose them.Rick Spair
What I do in the seat
I work a target account list myself: research, outreach, calls, and executive meetings. Self generated pipeline is how I have built every territory I have run, and it is the first thing I build for you.
I open doors at the executive level and displace incumbents. Fifty plus new enterprise logos across financial services, healthcare, manufacturing, and retail, won by giving decision makers a reason to switch.
I run live opportunities end to end: qualification, executive engagement, proposal, negotiation, and close, on technology services, IT staffing, and strategic sourcing deals.
I turn first wins into multiyear, multimillion dollar relationships. The pilot to enterprise expansion motion is where the real revenue compounds.
Alliance and partner motions that put your offer in front of accounts you cannot reach alone, and turn partner relationships into pipeline and closed deals.
Where a sales team already exists, I join their calls, open the doors they cannot, and help them close. The pipeline I build stays with you when the engagement ends.
How the engagement works
Weeks 1 to 2 · 01
I learn your offer, your accounts, and your market, build the target account list, and start outreach immediately. The goal of week two is first meetings booked, not a report delivered.
Weeks 3 to 8 · 02
The full prospecting cadence is running: outreach into target accounts every week, executive meetings held, qualified opportunities created, and live deals advanced. You see accounts touched, meetings held, and opportunities created, weekly.
Week 9 onward · 03
Deals run to close, wins expand into second and third engagements, and the pipeline is refilled continuously so revenue keeps moving after the first closes land.
Who this is for
Early stage
A great product and no one senior to go out and sell it.
Growth stage
Growth has stalled and the business needs a proven hunter producing pipeline and closes, not more process.
Enterprise
A territory, vertical, or services line that needs new logos now, without a full time headcount commitment.
Tech consulting and staffing
Your bench is strong but the pipeline is thin. I open enterprise doors, win new logos, and turn first placements and projects into multiyear programs that keep your consultants billable.
SaaS
You have product market fit and need enterprise deals. I run the executive conversations, shorten long sales cycles, and expand pilots into company wide contracts that move ARR.
Professional services
Growth has relied on referrals and partner relationships. I build a repeatable business development engine that lands larger clients and higher value engagements without pulling partners off billable work.
Fractional AI leadership
One accountable executive for your AI agenda, at a fraction of a full time C suite package.
Strategy, governance, security, and a business case that holds up sit on one plan. I stand up your AI steering committee, audit what you have, set the roadmap, and put the guardrails in place before anything is deployed. Everything below is the proof behind that advice.
$1.2B
Delivered
30+
Years enterprise tech
19
Books on AI & DX
4
Governance certifications
1,000+
AI systems reviewed
16+
AI agents in production
Thirty years in enterprise technology as a senior operator, not a commentator: large scale systems integration, data and infrastructure modernization, security and compliance programs, and enterprise architecture delivered inside Fortune 500 environments. I publish a daily AI briefing that takes no money from the vendors and model providers it covers, so nothing I recommend is bought. I run sixteen AI systems in production, which means I have personally handled model selection, prompt and retrieval architecture, evaluation, human in the loop controls, monitoring, and failure modes rather than reading about them. I hold four governance certifications covering AI risk management, privacy, security, and controls, so I can audit the architecture, data lineage, and policy posture behind my own recommendations. And every technical claim I publish clears a three gate verification chain against primary sources before it airs.
Criterion 01
PassNo vendor pays me to say anything.
DX Today publishes seven days a week. No sponsored content. No pay to play coverage. No affiliate links. No paywall, ever. Every claim is traced to a primary source and fact checked before it airs.
The publication is free and stays free. It is funded by my advisory practice, not by the industry it covers. That is the entire reason I can afford to tell you a product does not work.
Criterion 02
PassI ship the thing. I do not just have opinions about the thing.
Sixteen AI staffed roles running in production under human supervision, including SDR, receptionist, inbound response, reactivation, expansion rep, referral manager, renewal manager, invoicing clerk, collections clerk, billing recovery, quote chaser, publisher, sales ops, and GTM analyst. On the job in five days. Month to month, no annual lock in.
When I tell you what AI can and cannot do inside a business operation, it is because mine are running right now and I see what breaks.
Criterion 03
PassI am credentialed to audit what I recommend.
CISA, CISM, CGEIT, PMP, ITIL, and CobiT. That is an audit vocabulary, not a technology vocabulary. It means I come at AI oversight the way a risk committee does, which is a different job from building a model and a different job again from selling one.
Behind it: thirty years and roughly $1.2 billion of delivered enterprise solutions, into Fortune 500 manufacturing and financial services. Nineteen published titles.
Criterion 04
PassEvery claim is traced to a primary source before it airs. Pick any story and check it.
DX Today runs a verification chain on every claim it publishes, before publication rather than after. Three independent gates, each a different model, plus corroboration against the original source. Nothing airs on one source and nothing airs on my say so.
I run the same verification discipline on my own publication that I would put on your AI systems. If I could not govern my own output, you should not let me near yours.
Anyone can say they are accurate. Here is the process that has to clear before something goes out under my name, so you can check whether I actually follow it.
Primary source or it does not run.
A claim is traced back to the original document, filing, or announcement. Reporting about reporting is not a source.
Three independent verification gates.
Each claim is checked by three separate models, not one, then corroborated against the original. Agreement across independent checks is the bar, not a single confident answer.
Verified before it airs, not after.
The chain runs at production time. Nothing gets published on the assumption it can be walked back later.
Corrections are visible and prompt.
Errors go to rick@dxtoday.com and get fixed in the open, not quietly edited.
The same gate governs every channel.
Daily brief, podcast, newsletter, video. One shared verification process rather than a different standard per format.
What never happens
No sponsored content. No paid editorial coverage. No thought leadership partnerships at any price. No exclusive vendor partnerships and no referral fees. No paywall, no tiers, no gates.
Pick a story. Follow the sources. That is the whole invitation.
Enterprise AI strategy requires clear, unembellished technology communication.
Principle one
I do not deploy technology for the sake of technology. Every AI initiative is backed by a quantified business case and a realistic return on investment.
Principle two
Before a single model is trained or agent deployed, the guardrails are in place. Data privacy, compliance, and risk mitigation come before speed to market.
Principle three
I do not sell software seats. My guidance is entirely independent, separating genuine technological capability from hollow vendor promises.
Embedded executive leadership for your AI agenda: stand up your AI steering committee, audit current capabilities, define the eighteen to twenty four month AI roadmap, and own governance and delivery.
Ideal forOrganizations that need C suite AI expertise without the full time executive compensation package.
Developing the corporate policies, compliance frameworks, and data security protocols required before employees are granted access to generative AI tools.
Ideal forBoards and executives prioritizing risk mitigation, intellectual property protection, and regulatory compliance.
An unvarnished, technical audit of your proposed AI vendor contracts and technology stack. I cut through the hype to tell you what the technology can actually do.
Ideal forIT and procurement leaders evaluating major AI platform investments or platform migrations.
A structured diagnostic of where AI creates real economic value in your business, translated into a sequenced, budgeted roadmap with clear owners, success metrics, and build versus buy decisions.
Ideal forLeadership teams that need a defensible plan and prioritized use cases before committing capital or headcount.